The Scale-Dependence of Halo Assembly Bias
Tomomi Sunayama, Andrew P. Hearin, Nikhil Padmanabhan, Alexie, Leauthaud

TL;DR
This paper investigates how halo assembly bias varies with scale, revealing a new scale-dependent feature linked to ejected halos, and discusses its implications for galaxy clustering modeling.
Contribution
It presents the first study of scale-dependent halo assembly bias using $V_{max}$, identifying a new scale-dependent bump and its connection to ejected halos.
Findings
Large-scale clustering aligns with previous results.
A new scale-dependent bump in low-mass halos is identified.
Galaxy clustering can be significantly affected by halo property choices.
Abstract
The two-point clustering of dark matter halos is influenced by halo properties besides mass, a phenomenon referred to as halo assembly bias. Using the depth of the gravitational potential well, , as our secondary halo property, in this paper we present the first study of the scale-dependence assembly bias. In the large-scale linear regime, our findings are in keeping with previous results. In particular, at the low-mass end (), halos with high- show stronger large-scale clustering relative to halos with low- of the same mass, this trend weakens and reverses for In the nonlinear regime, assembly bias in low-mass halos exhibits a pronounced scale-dependent "bump" at a new result. This feature…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Galaxies: Formation, Evolution, Phenomena · Stellar, planetary, and galactic studies
